code: def launch_command(args):
      args, defaults, mp_from_config_flag = _validate_launch_command(
          args
      )
      # Use the proper launcher
      if args.use_deepspeed and not args.cpu:
          args.deepspeed_fields_from_accelerate_config = (
              list(defaults.deepspeed_config.keys()) if defaults else []
          )
          if mp_from_config_flag:
              args.deepspeed_fields_from_accelerate_config.append(
                  "mixed_precision"
              )
          args.deepspeed_fields_from_accelerate_config = ",".join(
              args.deepspeed_fields_from_accelerate_config
          )
          deepspeed_launcher(args)
      elif args.use_fsdp and not args.cpu:
          multi_gpu_launcher(args)
      elif args.use_megatron_lm and not args.cpu:
          multi_gpu_launcher(args)
      elif args.multi_gpu and not args.cpu:
          multi_gpu_launcher(args)
      elif args.tpu and not args.cpu:
          if args.tpu_use_cluster:
              tpu_pod_launcher(args)
          else:
              tpu_launcher(args)
      elif (
          defaults is not None
          and defaults.compute_environment
          == ComputeEnvironment.AMAZON_SAGEMAKER
      ):
          sagemaker_launcher(defaults, args)
      else:
          simple_launcher(args)
  
imports: import argparse
  import importlib
  import logging
  import os
  import subprocess
  import sys
  from pathlib import Path
  import psutil
  import torch
  from accelerate.commands.config import default_config_file, load_config_from_file
  from accelerate.commands.config.config_args import SageMakerConfig
  from accelerate.commands.config.config_utils import DYNAMO_BACKENDS
  from accelerate.state import get_int_from_env
  from accelerate.utils import ComputeEnvironment, DistributedType, PrepareForLaunch, _filter_args, check_cuda_p2p_ib_support, is_bf16_available, is_deepspeed_available, is_npu_available, is_rich_available, is_sagemaker_available, is_torch_version, is_tpu_available, is_xpu_available, patch_environment, prepare_deepspeed_cmd_env, prepare_multi_gpu_env, prepare_sagemager_args_inputs, prepare_simple_launcher_cmd_env, prepare_tpu
  from accelerate.utils.constants import DEEPSPEED_MULTINODE_LAUNCHERS, TORCH_DYNAMO_MODES
label_desc: Use image node_id 10 for calling a global function with example usage: launch_command(args) without return types